detectidentify
Detectidentify is a term used to describe a two-stage processing paradigm in which systems first detect signals or regions of interest in data and then identify the detected items by matching them to known classes or identities. It is not a standardized technical specification but a descriptive label for a common approach across multiple domains that require both localization and recognition.
The two stages typically involve a detection component and an identification component. The detection stage proposes
Applications of detectidentify span several fields. In computer vision, it is used for surveillance (detect people
Key considerations include evaluation metrics for both stages, potential error propagation from detection to identification, and